Manager/Senior Manager MIS and Analytics

You are a dynamic Manager/Senior Manager for MIS and Analytics responsible for leading data-driven decision-making efforts in the organization. Your role involves overseeing a team of analysts to collect, analyze, and interpret data from various sources, translating insights into actionable recommendations to drive the business forward. Your expertise in data analytics and strong leadership skills are crucial for guiding the company towards its strategic objectives. Your key responsibilities include leading the data analysts team by providing guidance, mentorship, and support in their daily activities. You will design and implement an analytics strategy aligned with the company's business goals, collecting, analyzing, and interpreting data from multiple sources to identify trends and opportunities. Specifically, you will gather and analyze financial data to assess revenue, cost, and EBITDA by various business metrics. You will deliver profitability analyses and insights to Senior Management, collaborate cross-functionally to define KPIs, and provide actionable insights to stakeholders to support data-driven decisions and business growth. Additionally, you will identify areas for automation, stay updated on industry trends in analytics tools, lead data governance initiatives, and partner with IT teams to optimize data infrastructure. You will communicate complex findings to technical and non-technical stakeholders through presentations, reports, and visualizations, promoting a culture of data-driven decision-making across the organization. To qualify for this role, you should have a Bachelor's degree in Business Management, Data Analytics, or related field (Master's degree preferred), along with 8-10 years of experience in analytics or a related field, including at least 5 years in a leadership role. You must have a strong track record in delivering impactful insights, experience in formulating and executing analytics strategies, and solid understanding of data governance principles. Exceptional people and stakeholder management skills, familiarity with data visualization tools, experience with large datasets and statistical analysis techniques, and relevant certifications in analytics tools are advantageous.,